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loss function

515 papers

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neural network (37) neural network optimization (29) object detection (28) deep neural network (27) semantic segmentation (26) convolutional neural network (25) class imbalance (25) gradient descent (24) multi-label classification (22) deep learning (20)

Papers

Data Unlearning in Diffusion Models ICLR 2025 Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025 Design Considerations in Offline Preference-based RL ICML 2025 Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint ICLR 2025 DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025 ElasticLaneNet: An Efficient Geometry-Flexible Lane Detection Framework WACV 2025 Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data AAAI 2025 Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning AAAI 2025 Explicit and Implicit Graduated Optimization in Deep Neural Networks AAAI 2025 Fine-Grained Spatial and Verbal Losses for 3D Visual Grounding WACV 2025 Fossils at SemEval-2025 Task 9: Tasting Loss Functions for Food Hazard Detection in Text Reports SemEval 2025 GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis ACL 2025 GauCho: Gaussian Distributions with Cholesky Decomposition for Oriented Object Detection CVPR 2025 General Loss Functions Lead to (Approximate) Interpolation in High Dimensions JMLR 2025 GT-Mean Loss: A Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement ICCV 2025 Improving Accuracy of Low-resource ASR using Rule-Based Character Constituency Loss (RBCCL) COLING 2025 Improving Diversity in Language Models: When Temperature Fails, Change the Loss ICML 2025 Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles ACL 2025 Inverse Game Theory: An Incenter-Based Approach IJCAI 2025 Joint Asymmetric Loss for Learning with Noisy Labels ICCV 2025 Jump To Hyperspace: Comparing Euclidean and Hyperbolic Loss Functions for Hierarchical Multi-Label Text Classification COLING 2025 KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks IJCAI 2025 Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision ICML 2025 Learning Is Not A Race: Improving Retrieval in Language Models via Equal Learning EMNLP 2025 Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition EMNLP 2025